DEPT OF STATISTICS & ACTUARIAL SCIENCE



Researcher : Chan WS

Project Title:Living To 100 and Beyond Society of Actuaries International Symposium The Lee-Carter Model for Forecasting Mortality Revisited
Investigator(s):Chan WS
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:01/2005




Researcher : Cheung ECK

List of Research Outputs

Cheung E.C.K., Insurance risk models with periodic observations: Dividends, capital injections and taxation, Laboratory of Mathematics, University of Franche Comte. 2016.
Cheung E.C.K., On a risk model with periodic capital injections at Erlang intervals, Department of Actuarial Science, University of Lausanne. 2016.
Cheung E.C.K. and Liu H., On the joint analysis of the total discounted payments to policyholders and shareholders: Threshold dividend strategy, Annals of Actuarial Science. UK, Cambridge University Press, 2016, 10(2): 236-269.
Zhang Z., Cheung E.C.K. and Yang H., Lévy insurance risk process with Poissonian taxation, Scandinavian Actuarial Journal. UK, Taylor & Francis, 2017, 2017: 51-87.


Researcher : Cheung KC

Project Title:Theory and applications of tail comonotonicity
Investigator(s):Cheung KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2013


Project Title:On optimal structures of reinsurance markets
Investigator(s):Cheung KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:11/2016


List of Research Outputs

Cheung K.C. and Lo A., Characterizations of optimal reinsurance treaties: a cost-benefit approach, Scandinavian Actuarial Journal. Taylor & Francis, 2017, 2017: 1-28.
Cheung K.C., Denuit M. and Dhaene J., Tail mutual exclusivity and Tail-VaR lower bounds, Scandinavian Actuarial Journal. Taylor & Francis, 2017, 2017: 88-104.
Lee W., Cheung K.C. and Ahn J., Multivariate countermonotonicity and the minimal copulas, Journal of Computational and Applied Mathematics. Elsevier, 2017, 317: 589-602.


Researcher : Fung TWK

Project Title:56th Session of the International Statistical Institute (Lisboa 2007) Estimating variance and covariance parameters by generalized estimating equations for credibility models
Investigator(s):Fung TWK
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:08/2007


Project Title:Research Output Prize
Investigator(s):Fung TWK, Hu Y
Department:Statistics & Actuarial Science
Source(s) of Funding:Research Output Prize (in Faculty)
Start Date:12/2009


Project Title:Likelihood methods for assessing association and parent-of-origin effects using case-control pedigrees
Investigator(s):Fung TWK
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2015


Project Title:22nd International Conference on Computational Statistics (Compstat 2016); Selection of the number of components in mixture regression model
Investigator(s):Fung TWK
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:08/2016
Completion Date:08/2016


List of Research Outputs

Chen Y., Bai Y. and Fung T.W.K., Structural identification and variable selection in high-dimensional varying-coefficient models, Journal of Nonparametric Statistics. 2017, 29: 258-279.
Pan D.D., Li Z.B., Li Q.Z. and Fung T.W.K., A Novel Powerful Joint Analysis with Data Fusion in Two-stage Case–Control Genome-wide Association Studies, Communications in Statistics - Simulation and Computation. Taylor & Francis Group, LLC, 2016, 45: 2362-2376.
Qin G., Zhu Z. and Fung T.W.K., Robust estimation of generalized partially linear model for longitudinal data with dropouts, Annals of the Institute of Statistical Mathematics. 2016, 68: 977-1000.
Qin G., Zhang J., Zhu Z. and Fung T.W.K., Robust estimation of partially linear models for longitudinal data with dropouts and measurement error, Statistics in Medicine. 2016, 35: 5401-5416.


Researcher : IP HL

List of Research Outputs

IP H.L. and Li W.K., On Some Matérn Covariance Functions for Spatio-temporal Random Fields, Statistica Sinica. Taiwan, Academia Sinica, 2017, 27: 805-822.


Researcher : Jiang F

Project Title:2017 Lifetime Data Science Conference; A second order semiparametric method for survival analysis, with application to an AIDS clinical trial study
Investigator(s):Jiang F
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:05/2017
Completion Date:05/2017


Project Title:The independent component approach for estimating heritability
Investigator(s):Jiang F
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:06/2017




Researcher : Kwan CW

List of Research Outputs

Kwan R., Leung A.Y.M., Kwan C.W., Bai X., Liu J., Kwan S.K.J., Chong A. and Chi I., Factors associated with cognitive decline of the residents in Hong Kong residential care homes: A secondary data analysis of a longitudinal study, International Alzheimer's Disease Conference 2017.
Lam K.U.E.N., Leung M.F., Kwan C.W. and Kwan S.K.J., Severe Spastic Contractures and Diabetes Mellitus Independently Predict Subsequent Minimal Trauma Fractures Among Long-Term Care Residents, Journal of the American Medical Directors Association. 2016, 17: 1025-1030.
YEK P.L., Lou V.W., Lum T.Y.S. and Kwan C.W., Role reconstruction of family caregivers with first-time strok survivors: a qualitative study, 2016 GSA Annual Scientific Meeting: New Lens on Aging: Changing Attitudes, Expanding Possibilities. 2016.


Researcher : LI Y

List of Research Outputs

ZHENG Y., LI Y., Li W.K. and Li G., Diagnostic Checking for Weibull Autoregressive Conditional Duration Models, In: Wai Keung Li, David A. Stanford, Hao Yu, Advances in Time Series Methods and Applications. New York, Springer, 2016, 107-114.
ZHENG Y., LI Y. and Li G., On Fréchet autoregressive conditional duration models, Journal of Statistical Planning and Inference. 2016, 175: 51-66.


Researcher : LI Z

List of Research Outputs

LI Z., Wang Q. and Yao J.J., Identifying the number of factors from singular values of a large sample auto-covariance matrix, The Annals of Statistics. The Institute of Mathematical Statistics, 2017, 45: 257-288.
LI Z. and Yao J.J., Testing the sphericity of a covariance matrix when the dimension is much larger than the sample size, Electronic Journal of Statistics. 2016, 10: 2973-3010.


Researcher : LIN R

List of Research Outputs

LIN R. and Yin G., Bootstrap aggregating continual reassessment method for dose finding in drug-combination trials, The Annals of Applied Statistics. Institute of Mathematical Statistics, 2016, 10(4): 2349-2376.
LIN R. and Yin G., Nonparametric overdose control with late-onset toxicity in phase I clinical trials, Biostatistics. Oxford University Press, 2017, 18(1): 180-194.
LIN R., Liu Z., Zheng S. and Yin G., Power computation for hypothesis testing with high-dimensional covariance matrices, Computational Statistics and Data Analysis. Elsevier B.V., 2016, 104: 10-23.


Researcher : LIU Z

List of Research Outputs

Li G., ZHU Q., LIU Z. and Li W.K., On Mixture Double Autoregressive Time Series Models, Journal of Business & Economic Statistics. USA, American Statistical Association, 2017, 35: 306-317.


Researcher : LO PH

List of Research Outputs

LO P.H., Li W.K., Yu P.L.H. and Li G., On Buffered Threshold Garch Models, Statistica Sinica. 2016, 26: 1555-1567.


Researcher : LU R

List of Research Outputs

Yu P.L.H. and LU R., Cointegrated market-neutral strategy for basket trading, International Review of Economics & Finance. 2017, 49: 112-124.


Researcher : Lam K

List of Research Outputs

Xin L..., Yu P.L.H. and Lam K., Pricing an accumulator with continuous or discrete barrier, Journal of Derivatives. Institutional Investor LLC, 2017, 24 (4): 93-107.


Researcher : Lam KF

List of Research Outputs

CHAN C.K., Ho K.L., Lai S.M.L., Lam K.F. and Wong M.C.M., Tooth loss in patients undergoing supportive periodontal maintenance care, Journal of Dental Research. 2017, 96 (Spec Iss A): 1597.
Lam K.F., Lui R.K.W. and Cheung M.Y., The Faculty Award for Teaching Innovations in E-learning, Faculty of Science, The University of Hong Kong. 2017.
Lam T.P., Mak K.Y., Lam K.F., Chan H.Y. and SUN K.S., Five-year outcomes of western mental health training for Traditional Chinese Medicine Practitioners, BMC Psychiatry. 2016, 16: 363.
WU D., Lam T.P., Lam K.F., Zhou X.D. and SUN K.S., Health reforms in China: the public’s choices for first-contact contact in urban areas, Family Practice. 2017, 32: 194-200.
Xu Y., Lam K.F. and Cheung Y.B., Sample size determination for fold-increase endpoints defined by paired interval-censored data, Journal of Biopharmaceutical Statistics. 2016, 26: 978-991.
Yeung K.F., Lui R.K.W., Cheung M.Y., Lam K.F. and Tsing N.K., A Calculus E-learning System For First-year University Students With Diverse Mathematics Background, 13th International Congress on Mathematical Education . 2016.


Researcher : Lam Y

List of Research Outputs

Lam Y., Choy B. and Yu P.L.H., A sequential sampling plan for exponential distribution, Sequential Analysis. Taylor & Francis, 2016, 35: 331-346.


Researcher : Lee SMS

Project Title:Consistent bootstrap procedures for post-model-selection inference under linear regression models
Investigator(s):Lee SMS
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2016


List of Research Outputs

Lee S.M.S. and Young G.A., Distribution of likelihood-based p-values under a local alternative hypothesis , Biometrika. 2016, 103: 641-652.


Researcher : Li E

List of Research Outputs

Li E., Factors Affecting Delay Discounting—The Real Option Approach, International Journal of Psychological Studies. 2017, 9: 96.


Researcher : Li G

Project Title:On statistical inference for quantile time series models
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:11/2013
Completion Date:10/2016


Project Title:Linear double autoregressive time series models and its conditional quantile inference
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:10/2016


Project Title:Computational and Methodological Statistics 2016 (CMStatistics 2016); Conditional quantile inference for generalized autoregressive conditional heteroscedastic models: A hybrid approach
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:12/2016
Completion Date:12/2016


Project Title:Quantile double autoregression
Investigator(s):Li G
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:05/2017


List of Research Outputs

LO P.H., Li W.K., Yu P.L.H. and Li G., On Buffered Threshold Garch Models, Statistica Sinica. 2016, 26: 1555-1567.
Li G., Associate Editor, Computational Statistics. 2016.
Li G., ZHU Q., LIU Z. and Li W.K., On Mixture Double Autoregressive Time Series Models, Journal of Business & Economic Statistics. USA, American Statistical Association, 2017, 35: 306-317.
ZHENG Y., LI Y., Li W.K. and Li G., Diagnostic Checking for Weibull Autoregressive Conditional Duration Models, In: Wai Keung Li, David A. Stanford, Hao Yu, Advances in Time Series Methods and Applications. New York, Springer, 2016, 107-114.
ZHENG Y., LI Y. and Li G., On Fréchet autoregressive conditional duration models, Journal of Statistical Planning and Inference. 2016, 175: 51-66.
Zhu X., Pan R., Li G., Liu Y. and Wang H., Network vector autoregression, The Annals of Statistics. 2017, 45: 1096-1123.


Researcher : Li WK

Project Title:The buffer process: a new type of threshold time series model
Investigator(s):Li WK, Li G, Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2012


Project Title:On the generalized conditional autoregressive Wishart process and its extensions
Investigator(s):Li WK, Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2015


Project Title:HKU Centennial Distinguished Chinese Scholars Scheme 2015-16
Investigator(s):Li WK
Department:Statistics & Actuarial Science
Source(s) of Funding:HKU Centennial Distinguished Chinese Scholars Scheme
Start Date:09/2015


List of Research Outputs

IP H.L. and Li W.K., On Some Matérn Covariance Functions for Spatio-temporal Random Fields, Statistica Sinica. Taiwan, Academia Sinica, 2017, 27: 805-822.
LO P.H., Li W.K., Yu P.L.H. and Li G., On Buffered Threshold Garch Models, Statistica Sinica. 2016, 26: 1555-1567.
Li G., ZHU Q., LIU Z. and Li W.K., On Mixture Double Autoregressive Time Series Models, Journal of Business & Economic Statistics. USA, American Statistical Association, 2017, 35: 306-317.
Li W.K., A Time Series Model for Realized Volatility Matrices Based on the Matrix-F Distribution, First International Conference on Econometrics and Statistics, HKUST. 2017.
Li W.K., A robust goodness-of-fit test for generalized autoregressive conditional heteroscedastic models., Seventh Singapore Conference on Statistical Science, NUS. 2017.
Li W.K., Global Statistical Collaboration: Opportunities, Challenges and Future , The 10th International Chinese Statistical Association International Conference, Shanghai, China. 2016.
Li W.K., Ian McLeod’s Contribution to Time Series Analysis—A Tribute, In: Wai Keung Li, David A. Stanford, Hao Yu, Advances in Time Series Methods and Applications: The A. Ian McLeod Festschrift (Fields Institute Communications 78). New York, Springer, 2016, 78: 1-16.
Li W.K., On Buffered Time Series Models, HKU-NUS-STANFORD Conference in Statistical Science and Decision Analysics, HKU. 2017.
Li W.K., On Hysteretic Time Series with Financial Applications , The Sixth IMS-FIPS Workshop (IMS = Institute of Mathematical Statistics; FIPS = Finance, Insurance, Probability and Statistics), Univ. of Alberta, Canada. 2016.
Li W.K., On Some Time Series Models for Realized Volatility Matrices, Institute of Mathematical Statistics-China 2017, Nanning, China. 2017.
Li W.K., Peter Hall: HKU and Time series, Special Memorial Session of Peter Hall (FRS); The 10th Chinese International Statistics Association International Conference, Shanghai, China. 2016.
Wu K. and Li W.K., On a dispersion model with Pearson residual responses, Computational Statistics & Data Analysis. The Netherlands, Elsevier, 2016, 103: 17-27.
ZHENG Y., LI Y., Li W.K. and Li G., Diagnostic Checking for Weibull Autoregressive Conditional Duration Models, In: Wai Keung Li, David A. Stanford, Hao Yu, Advances in Time Series Methods and Applications. New York, Springer, 2016, 107-114.


Researcher : Lui GCS

List of Research Outputs

Ng P.T., Cheng C.F.M., Ho K.Y., Lui G.C.S., Leung K.M.Y. and Williams G.A., Hong Kong’s rich marine biodiversity: the unseen wealth of South China’s megalopolis, Biodiversity and Conservation. 2016, 26: 23-36.


Researcher : Ng KW

Project Title:Compositional Data Analysis Workshop (CoDaWork'03) Compositional Hypotheses of Subcompositional Stability and Specific Perturbation Change and Their Testing
Investigator(s):Ng KW
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:10/2003


Project Title:Research Output Prize (Faculty of Science)
Investigator(s):Ng KW
Department:Statistics & Actuarial Science
Source(s) of Funding:Research Output Prize (in Faculty)
Start Date:01/2013




Researcher : SHI H

List of Research Outputs

SHI H. and Yin G., Bayesian two-stage design for phase II clinical trials with switching hypothesis tests, Bayesian Analysis. International Society for Bayesian Analysis, 2017, 12(1): 31-51.
SHI H. and Yin G., Two-stage seamless transition design from open-label single-arm to randomized double-arm clinical trials, Statistical Methods in Medical Research. SAGE, 2016, 1-18.


Researcher : Tong H

Project Title:Distinguished Visiting Professors in the Department of Statistics and Actuarial Science
Investigator(s):Tong H
Department:Statistics & Actuarial Science
Source(s) of Funding:Distinguished Research Achievement Award
Start Date:05/2005




Researcher : Wat KP

List of Research Outputs

Yuen K.C., Chen M. and Wat K.P., On the expected penalty functions in a discrete semi-Markov risk model with randomized dividends, Journal of Computational and Applied Mathematics. Elsevier, 2017, 311: 239-251.


Researcher : Woo JK

Project Title:On the joint analysis of time-dependent multivariate aggregate claims in a Markovian environment
Investigator(s):Woo JK
Department:Statistics & Actuarial Science
Source(s) of Funding:France/Hong Kong Joint Research Scheme - Travel Grants
Start Date:01/2016


List of Research Outputs

Woo J.K., On multivariate discounted compound renewal sums with time-dependent claims in the presence of reporting/payment delays, In: Hansjoerg Albrecher, Insurance: Mathematics and Economics . 2016, 70: 354-363.
Woo J.K., On some properties of a class of multivariate Erlang mixtures with insurance applications, University of Carlos III of Madrid, Financial Economics. 2016.
Woo J.K., Periodic capital injections based on the claim frequency, University of Lausanne, Faculty of Business and Economics (HEC), Actuarial Science. 2016.


Researcher : Xu J

Project Title:Nonparametric Maximum Likelihood and Profile Minorization-Maximiation Methods for correlated failure time data
Investigator(s):Xu J
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:01/2017


List of Research Outputs

Wang C., Shen Q., Du L., Xu J. and Zhang H., armDNA: A functional beta model for detecting age-related genomewide DNA methylation marks, Statistical Methods in Medical Research. 2016, 096228021668357.
Xu J., Further Evaluation of Covariate Analysis using Empirical Bayes Estimates in Population Pharmacokinetics: the Perception of Shrinkage and Likelihood Ratio Test, The AAPS Journal. 2017, 19: 264-273.
Xu J., Genetic risks and genetic model specification, Journal of Theoretical Biology. 2016, 403: 68-74.
Xu J., Greater Frequency of Fruit and Vegetable Consumption Is Associated With Lower Prevalence of Peripheral Artery DiseaseHighlights, Arteriosclerosis, Thrombosis, and Vascular Biology. 2017, 37: 1234-1240.
Xu J., Rates of Invasive Management of Cardiogenic Shock in New York Before and After Exclusion From Public Reporting, JAMA Cardiology. 2016.
Zheng G., Xiong J., Li Q., Xu J., Yuan A. and Gastwirth J., Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions, Scandinavian Journal of Statistics. 2017.


Researcher : YANG H

List of Research Outputs

Chen J., YANG H. and Yao J.J., A new multivariate CUSUM chart using principal components with a revision of Crosier's chart, Communications in Statistics - Simulation and Computation. 2017, 1-13.
Chen J., YANG H. and Yao J.J., On the T^2 control chart with estimated parameters, Quality Technology & Quantitative Management. 2017, 1-14.
Chen L. and Yang H., Optimal reinsurance and investment strategy with two piece utility function, Journal of Industrial and Management Optimization. 2017, 13: 737-755.
Jin Z., Yang H. and Yin G., A numerical approach to optimal dividend policies with capital injections and transaction costs, Acta Mathematicae Applicatae Sinica, English Series. 2017, 33: 221-238.
Meng H., Siu T.K. and Yang H., Optimal insurance risk control with multiple reinsurers, Journal of Computational and Applied Mathematics. 2016, 306: 40-52.
Yang H., Geometric Stopping of a Random Walk and Its Applications to Valuing Equity-linked Death Benefits, 2016 Workshop on Stochastic Control and Financial Applications, Hong Kong, August 16-17, 2016. 2016.
Yang H., Geometric Stopping of a Random Walk and Its Applications to Valuing Equity-linked Death Benefits, The Fifth Asian Quantitative Finance Conference (AQFC). 2017.
Yang H., Geometric stopping of a random walk and applications, The International Symposium on Probability Theory and Related Fields. 2016.
Yang H., Series editor, Springer Actuarial series. 2017.
Zhang Z., Cheung E.C.K. and Yang H., Lévy insurance risk process with Poissonian taxation, Scandinavian Actuarial Journal. UK, Taylor & Francis, 2017, 2017: 51-87.
Zhang Z., Yang H. and Yang H., On a nonparametric estimator for the finite time survival probability with zero initial surplus, Acta Mathematicae Applicatae Sinica. 2016, 32: 739-754.
Zhao Y., Chen P. and Yang H., Optimal periodic dividend and capital injection problem for spectrally positive Lévy processes, Insurance: Mathematics and Economics. 2017, 74: 135-146.
Zhu J. and Yang H., Optimal capital injection and dividend distribution for growth restricted diffusion models with bankruptcy, Insurance: Mathematics and Economics. 2016, 70: 259-271.


Researcher : Yang H

Project Title:15th Applied Stochastic Models and Data Analysis International Conference (ASMDA 2013); Some results on exponential stopping of Brownian motion and their applications
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:06/2013


Project Title:Valuing equity-linked insurance products and related problems in actuarial science
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2014
Completion Date:12/2016


Project Title:Outstanding Researcher Award 2013-14
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:Outstanding Researcher Award
Start Date:12/2014


Project Title:60th ISI World Statistics Congress -ISI2015; Exponential stopping of jump-diffusion processes and applications
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2015


Project Title:Joint analysis of path-dependent quantities in insurance risk processes
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:07/2016


Project Title:20nd International Congress on Insurance: Mathematics and Economics; Optimal capital injection and dividend distribution for growth restricted diffusion models with bankruptcy
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2016
Completion Date:07/2016


Project Title:A study on optimal policies for insurance companies
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


Project Title:Nonparametric and Numerical Methods for Problems in Insurance Risk Models
Investigator(s):Yang H
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:04/2017


List of Research Outputs

Chen J., YANG H. and Yao J.J., A new multivariate CUSUM chart using principal components with a revision of Crosier's chart, Communications in Statistics - Simulation and Computation. 2017, 1-13.
Chen J., YANG H. and Yao J.J., On the T^2 control chart with estimated parameters, Quality Technology & Quantitative Management. 2017, 1-14.
Chen L. and Yang H., Optimal reinsurance and investment strategy with two piece utility function, Journal of Industrial and Management Optimization. 2017, 13: 737-755.
Jin Z., Yang H. and Yin G., A numerical approach to optimal dividend policies with capital injections and transaction costs, Acta Mathematicae Applicatae Sinica, English Series. 2017, 33: 221-238.
Meng H., Siu T.K. and Yang H., Optimal insurance risk control with multiple reinsurers, Journal of Computational and Applied Mathematics. 2016, 306: 40-52.
Yang H., Geometric Stopping of a Random Walk and Its Applications to Valuing Equity-linked Death Benefits, 2016 Workshop on Stochastic Control and Financial Applications, Hong Kong, August 16-17, 2016. 2016.
Yang H., Geometric Stopping of a Random Walk and Its Applications to Valuing Equity-linked Death Benefits, The Fifth Asian Quantitative Finance Conference (AQFC). 2017.
Yang H., Geometric stopping of a random walk and applications, The International Symposium on Probability Theory and Related Fields. 2016.
Yang H., Series editor, Springer Actuarial series. 2017.
Zhang Z., Cheung E.C.K. and Yang H., Lévy insurance risk process with Poissonian taxation, Scandinavian Actuarial Journal. UK, Taylor & Francis, 2017, 2017: 51-87.
Zhang Z., Yang H. and Yang H., On a nonparametric estimator for the finite time survival probability with zero initial surplus, Acta Mathematicae Applicatae Sinica. 2016, 32: 739-754.
Zhao Y., Chen P. and Yang H., Optimal periodic dividend and capital injection problem for spectrally positive Lévy processes, Insurance: Mathematics and Economics. 2017, 74: 135-146.
Zhu J. and Yang H., Optimal capital injection and dividend distribution for growth restricted diffusion models with bankruptcy, Insurance: Mathematics and Economics. 2016, 70: 259-271.


Researcher : Yao J.J.

Project Title:Inference for high-dimensional factor models
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2013
Completion Date:08/2016


Project Title:Test of dependence between a large set and a small set of variables
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2015


Project Title:Heavy-tailed large sample covariance matrices and applications
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


List of Research Outputs



Researcher : Yao JJ

Project Title:Inference for high-dimensional factor models
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2013
Completion Date:08/2016


Project Title:Test of dependence between a large set and a small set of variables
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2015


Project Title:Heavy-tailed large sample covariance matrices and applications
Investigator(s):Yao JJ
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


List of Research Outputs

Chen J., YANG H. and Yao J.J., A new multivariate CUSUM chart using principal components with a revision of Crosier's chart, Communications in Statistics - Simulation and Computation. 2017, 1-13.
Chen J., YANG H. and Yao J.J., On the T^2 control chart with estimated parameters, Quality Technology & Quantitative Management. 2017, 1-14.
LI Z., Wang Q. and Yao J.J., Identifying the number of factors from singular values of a large sample auto-covariance matrix, The Annals of Statistics. The Institute of Mathematical Statistics, 2017, 45: 257-288.
LI Z. and Yao J.J., Testing the sphericity of a covariance matrix when the dimension is much larger than the sample size, Electronic Journal of Statistics. 2016, 10: 2973-3010.
Li W., Chen J. and Yao J.J., Testing the independence of two random vectors where only one dimension is large, Statistics. 2017, 51: 141-153.
Wang Q. and Yao J.J., Extreme eigenvalues of large-dimensional spiked Fisher matrices with application, The Annals of Statistics. IMS, 2017, 45: 415-460.
Wang Q. and Yao J.J., Moment approach for singular values distribution of a large auto-covariance matrix, Annales de l'Institut Henri Poincaré Probabilités et Statistiques. 2016, 52(4): 1641-1666.
Yao J.J., Associate Editor, Bernoulli. 2016.
Yao J.J., Editor, ESAIM: Proceedings. EDP Sciences, 2017.
Yao J.J., Editor, Random Matrices: Theory and Applications. World Scientific Publishing, 2017.
Yao J.J., Editor, Random Matrices: Theory and Applications. World Scientific Publishing, 2017.
Yao J.J., Eigenvalues of sample covariance matrix from a high-dimensional mixture, International Conference on Data Science, Fudan University, December 16-19, 2016. 2016.
Zheng S., Yao J.J. and Bai Z., CLT for eigenvalue statistics of large dimensional general Fisher matrices with applications, Bernoulli. 2017, 23(2): 1130-1178.


Researcher : Yin G

Project Title:Bayesian two-stage adaptive design in phase I and phase II clinical trials
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:11/2013
Completion Date:10/2016


Project Title:Bayesian Hierarchical Modeling and Subgroup Analysis with Application to Alzheimer's Disease
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2015


Project Title:Robust Detection of Multiple Change-Points with High-dimensional Data
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:07/2016


Project Title:Matching Survival and Quantile Estimation for Right Censored Data
Investigator(s):Yin G
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:06/2017


List of Research Outputs

Cardó-Vila M., Marchiò S., Sato M., Staquicini F., Smith T.L., Bronk J.K., Yin G., Zurita A., Sun M., Behrens C., Sidman R.L., Lee J.J., Hong W.K., Wistuba I., Arap W. and Pasqualini R., Interleukin-11 receptor is a candidate target for ligand-directed therapy in lung cancer: analysis of clinical samples and BMTP-11 pre-clinical activity, The American Journal of Pathology. 2016, 186: 2162-2170.
LIN R. and Yin G., Bootstrap aggregating continual reassessment method for dose finding in drug-combination trials, The Annals of Applied Statistics. Institute of Mathematical Statistics, 2016, 10(4): 2349-2376.
LIN R. and Yin G., Nonparametric overdose control with late-onset toxicity in phase I clinical trials, Biostatistics. Oxford University Press, 2017, 18(1): 180-194.
LIN R., Liu Z., Zheng S. and Yin G., Power computation for hypothesis testing with high-dimensional covariance matrices, Computational Statistics and Data Analysis. Elsevier B.V., 2016, 104: 10-23.
Li H., Duan X. and Yin G., Generalized method of moments for additive hazards model with clustered dental survival data, Scandinavian Journal of Statistics. John Wiley & Sons, Inc., 2016, 43(4): 1124-1139.
Lin R. and Yin G., Robust optimal interval design for high-dimensional dose finding in multi-agent combination trials, In: Chen D.G., Chen J., Lu X., Yi G., Yu H. (eds), Advanced Statistical Methods in Data Science. ICSA Book Series in Statistics. Singapore, Springer, 2016, 55-74.
SHI H. and Yin G., Bayesian two-stage design for phase II clinical trials with switching hypothesis tests, Bayesian Analysis. International Society for Bayesian Analysis, 2017, 12(1): 31-51.
SHI H. and Yin G., Two-stage seamless transition design from open-label single-arm to randomized double-arm clinical trials, Statistical Methods in Medical Research. SAGE, 2016, 1-18.
Wu Y. and Yin G., Cure rate quantile regression accommodating both finite and infinite survival times, Canadian Journal of Statistics. 2017, 45: 29-43.
Wu Y. and Yin G., Multiple imputation for cure rate quantile regression with censored data, Biometrics. The International Biometric Society, 2017, 73: 94-103.


Researcher : Yip PSF

Project Title:22nd World Congress of the International Association for Suicide Preventation (IASP) Social Burden of Suicide Risk in Hong Kong
Investigator(s):Yip PSF
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:09/2003


Project Title:IBC 2004 XXIInd International Biometric Conference in Parallel with ASC 2004 Australian Statistical Conference A Unification Method of Estimating Population Size via Capture-recapture Experiments
Investigator(s):Yip PSF
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2004


Project Title:XVIII World Congress of the International Association for Suicide Prevention Suicide in Three Chinese Communities: China, Taiwan and Hong Kong
Investigator(s):Yip PSF
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:09/2005


Project Title:HKU Overseas Fellowship Awards 2009-10
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:HKU Overseas Fellowship Awards
Start Date:09/2009


Project Title:Outstanding Researcher Award 2008-2009
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Outstanding Researcher Award
Start Date:12/2009


Project Title:Outstanding Research Student Supervisor Award 2010-11
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Outstanding Research Student Supervisor Award
Start Date:12/2011


Project Title:An Integrated Study of the Population Policy for Hong Kong
Investigator(s):Yip PSF, Cheung PTY, Lam KF, Lum TYS
Department:Soc Work & Social Administration
Source(s) of Funding:Strategic Public Policy Research
Start Date:03/2013


Project Title:World Congress for Suicide Prevention IASP; Stigma: A Major Barrier For Suicide Prevention /Suicidal Behaviors In Hong Kong: An Update /A Study On The Mutual Causation Of Suicide Reporting And Suicide Incidences
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:09/2013


Project Title:The impact of the 2008 global economic crisis on suicide in Hong Kong
Investigator(s):Yip PSF, Chang S
Department:Soc Work & Social Administration
Source(s) of Funding:General Research Fund (GRF)
Start Date:07/2014


Project Title:A temporal spatial analysis of morbidity and mortality for Hong Kong population
Investigator(s):Yip PSF, Chang S
Department:Soc Work & Social Administration
Source(s) of Funding:General Research Fund (GRF)
Start Date:11/2014


Project Title:A Study on the demographics of older adults in Hong Kong
Investigator(s):Yip PSF
Department:HKJC Ctr for Suicide Research & Preventn
Source(s) of Funding:The Hong Kong Jockey Club Charities Trust - General Award
Start Date:04/2015


Project Title:Individual- and area-level influence on elderly health: longitudinal and cross-sectional analyses of elderly health status and mortality in Hong Kong
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Small Project Funding
Start Date:06/2015


Project Title:Assessing the socioeconomic costs of drug abuse in Hong Kong SAR
Investigator(s):Yip PSF, Laidler KA
Department:Soc Work & Social Administration
Source(s) of Funding:Beat Drugs Fund
Start Date:06/2015


Project Title:Individual-, Household- and Neighbourhood-level effects on Life Satisfaction
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Seed Fund for Basic Research
Start Date:06/2016


Project Title:Study on Identifying and Locating Poor Elderly in Hong Kong
Investigator(s):Yip PSF
Department:HKJC Ctr for Suicide Research & Preventn
Source(s) of Funding:Oxfam Hong Kong
Start Date:07/2016


Project Title:A Study on Population Dynamics in One Belt One Road: Opportunities and Challenges
Investigator(s):Yip PSF, Kwok CL
Department:Soc Work & Social Administration
Source(s) of Funding:Public Policy Research Funding Scheme
Start Date:09/2016
Completion Date:08/2017


Project Title:The effect of individual- and neighborhood- socioeconomic status on older adult’s health: a cross-sectional and prospective cohort study in Hong Kong
Investigator(s):Yip PSF, Chan CH, Lum TYS
Department:Soc Work & Social Administration
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


Project Title:Construction of a Population Wellbeing index
Investigator(s):Yip PSF
Department:Soc Work & Social Administration
Source(s) of Funding:Seed Fund for Basic Research
Start Date:05/2017




Researcher : Yu PLH

Project Title:Development of Data Mining Labs using SAS Enterprise Miner Version 5
Investigator(s):Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:Run Run Shaw Research and Teaching Endowment Fund - Teaching Grants
Start Date:06/2007


Project Title:A Unified Framework for Bridging the Gap between Nonparametric and Parametric Inferences based on Ranking Data
Investigator(s):Yu PLH
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:09/2015


List of Research Outputs

LO P.H., Li W.K., Yu P.L.H. and Li G., On Buffered Threshold Garch Models, Statistica Sinica. 2016, 26: 1555-1567.
Lam Y., Choy B. and Yu P.L.H., A sequential sampling plan for exponential distribution, Sequential Analysis. Taylor & Francis, 2016, 35: 331-346.
Xin L..., Yu P.L.H. and Lam K., Pricing an accumulator with continuous or discrete barrier, Journal of Derivatives. Institutional Investor LLC, 2017, 24 (4): 93-107.
Yu P.L.H., Mathew T. and Zhu Y., A generalized pivotal quantity approach to portfolio selection, Journal of Applied Statistics. 2017, 44 (8): 1402-1420.
Yu P.L.H., Associate Editor, Computational Statistics. 2016.
Yu P.L.H., Associate Editor, In: Dr. Chia-Lin Chang and Dr. Michael McAleer, Journal of Health & Medical Economics. 2016.
Yu P.L.H., Associate Editor, In: Dr. Michael McAleer, Journal of Informatics and Data Mining. 2016.
Yu P.L.H., Associate Editor, Statistics, Optimization and Information Computing. 2016.
Yu P.L.H. and LU R., Cointegrated market-neutral strategy for basket trading, International Review of Economics & Finance. 2017, 49: 112-124.
Yu P.L.H., Semi‐Parametric Approach to the Multiple Change‐Point Problem, the 4th African International Conference on Statistics Limpopo, South Africa . 2017.


Researcher : Yuen KC

Project Title:On Some Actuarial Problems for Risk Models with Dependence
Investigator(s):Yuen KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2014


Project Title:20th International Congress on Insurance: Mathematics and Economics; Optimal dividends and reinsurance with capital injection under thinning dependence
Investigator(s):Yuen KC
Department:Statistics & Actuarial Science
Source(s) of Funding:URC/CRCG - Conference Support for Teaching Staff
Start Date:07/2016
Completion Date:07/2016


Project Title:Optimality Studies for Contemporary Insurance Models
Investigator(s):Yuen KC
Department:Statistics & Actuarial Science
Source(s) of Funding:General Research Fund (GRF)
Start Date:01/2017


List of Research Outputs

Dong Y., Wang G. and Yuen K.C., A regime-switching model with jumps and its application to bond pricing and insurance , Stochastics and Dynamics. World Scientific, 2016, 16(6): 1-16.
Liang Z., Bi J., Yuen K.C. and Zhang C., Optimal mean-variance reinsurance and investment in a jump-diffusion financial market with common shock dependence, Mathematical Methods of Operations Research. INFORMS, 2016, 84(1): 155-181.
Yuen K.C., A discrete-time risk model with Poisson ARCH claim number process, The 51st Actuarial Research Conference, Minneapolis/St. Paul, Minnesota, USA. 2016.
Yuen K.C., Computational Statistics and Data Analysis, Associate Editor, 2017.
Yuen K.C., Chen M. and Wat K.P., On the expected penalty functions in a discrete semi-Markov risk model with randomized dividends, Journal of Computational and Applied Mathematics. Elsevier, 2017, 311: 239-251.
Yuen K.C., Optimal dividends and reinsurance for a risk model with dependence, The 1st International Conference on Econometrics and Statistics, The Hong Kong University of Science and Technology, Hong Kong. 2017.
Yuen K.C., Optimal dividends and reinsurance with capital injection under thinning dependence, The 20th International Congress on Insurance: Mathematics and Economics, Atlanta, Georgia, USA. 2016.
Yuen K.C., Optimal reinsurance for an actuarial model with dependent risks, Department of Mathematics and Statistics, University of Calgary, Alberta, Canada. 2016.
Yuen K.C., Optimal reinsurance under thinning dependence, Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, Canada. 2016.
Yuen K.C., Some recent research on dependence in actuarial science, Department of Mathematics, Southern University of Science and Technology, Shenzhen, China . 2017.


Researcher : ZHENG Y

List of Research Outputs

ZHENG Y., LI Y., Li W.K. and Li G., Diagnostic Checking for Weibull Autoregressive Conditional Duration Models, In: Wai Keung Li, David A. Stanford, Hao Yu, Advances in Time Series Methods and Applications. New York, Springer, 2016, 107-114.
ZHENG Y., LI Y. and Li G., On Fréchet autoregressive conditional duration models, Journal of Statistical Planning and Inference. 2016, 175: 51-66.


Researcher : ZHU Q

List of Research Outputs

Li G., ZHU Q., LIU Z. and Li W.K., On Mixture Double Autoregressive Time Series Models, Journal of Business & Economic Statistics. USA, American Statistical Association, 2017, 35: 306-317.


Researcher : Zhu K

Project Title:Model diagnostics checking for nonlinear co-integrating regression
Investigator(s):Zhu K
Department:Statistics & Actuarial Science
Source(s) of Funding:Seed Fund for Basic Research
Start Date:05/2017




Researcher : Zhu Y

List of Research Outputs

Yu P.L.H., Mathew T. and Zhu Y., A generalized pivotal quantity approach to portfolio selection, Journal of Applied Statistics. 2017, 44 (8): 1402-1420.


-- End of Listing --